About the use of fuzzy clustering techniques for fuzzy model identification
In this work we present an alternative approach to generate fuzzy rules with a functional consequent associated to the TSK fuzzy model. In our case, using fuzzy clustering algorithms that look for linear behaviours in the product space of the input-output data, we analyse different methods to genera...
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Published in | Fuzzy sets and systems Vol. 106; no. 2; pp. 179 - 188 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.09.1999
Elsevier |
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Abstract | In this work we present an alternative approach to generate fuzzy rules with a functional consequent associated to the TSK fuzzy model. In our case, using fuzzy clustering algorithms that look for linear behaviours in the product space of the input-output data, we analyse different methods to generate the associated fuzzy rules using in some cases multidimensional reference fuzzy sets in the product space of the input variables and in other cases fuzzy sets in each of the different dimensions. In any case the rules being generated correspond to a TSK fuzzy model. |
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AbstractList | In this work we present an alternative approach to generate fuzzy rules with a functional consequent associated to the TSK fuzzy model. In our case, using fuzzy clustering algorithms that look for linear behaviours in the product space of the input-output data, we analyse different methods to generate the associated fuzzy rules using in some cases multidimensional reference fuzzy sets in the product space of the input variables and in other cases fuzzy sets in each of the different dimensions. In any case the rules being generated correspond to a TSK fuzzy model. |
Author | Gómez-Skarmeta, A.F. Vila, M.A. Delgado, M. |
Author_xml | – sequence: 1 givenname: A.F. surname: Gómez-Skarmeta fullname: Gómez-Skarmeta, A.F. email: skarmeta@dif.um.es organization: Dept. Informática y Sistenas, Universidad de Murcia, Apartado Correas 4021, 30001 Murcia, Spain – sequence: 2 givenname: M. surname: Delgado fullname: Delgado, M. organization: Dept. Ciencias de la Computación e Inteligencia Artificial, Universidad de Granada, Spain – sequence: 3 givenname: M.A. surname: Vila fullname: Vila, M.A. organization: Dept. Ciencias de la Computación e Inteligencia Artificial, Universidad de Granada, Spain |
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Keywords | Fuzzy modelling Unsupervised learning Fuzzy clustering Functional System identification Fuzzy algorithm Fuzzy set Input output model |
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Snippet | In this work we present an alternative approach to generate fuzzy rules with a functional consequent associated to the TSK fuzzy model. In our case, using... |
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SubjectTerms | Applied sciences Computer science; control theory; systems Control theory. Systems Exact sciences and technology Fuzzy clustering Fuzzy modelling Mathematics Modelling and identification Multivariate analysis Probability and statistics Sciences and techniques of general use Statistics Unsupervised learning |
Title | About the use of fuzzy clustering techniques for fuzzy model identification |
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